Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Optimal Influence In Social Networks
Download Optimal Influence In Social Networks full books in PDF, epub, and Kindle. Read online Optimal Influence In Social Networks ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Optimal Social Influence by : Wen Xu
Download or read book Optimal Social Influence written by Wen Xu and published by Springer. This book was released on 2020-01-30 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book describes social influence from a computational point of view, with a focus on recent and practical applications, models, algorithms and open topics for future research. Researchers, scholars, postgraduates and developers interested in research on social networking and the social influence related issues will find this book useful and motivating. The latest research on social computing is presented along with and illustrations on how to understand and manipulate social influence for knowledge discovery by applying various data mining techniques in real world scenarios. Experimental reports, survey papers, models and algorithms with specific optimization problems are depicted. The main topics covered in this book are: chrematistics of social networks, modeling of social influence propagation, popular research problems in social influence analysis such as influence maximization, rumor blocking, rumor source detection, and multiple social influence competing.
Book Synopsis Internet and Network Economics by : Amin Saberi
Download or read book Internet and Network Economics written by Amin Saberi and published by Springer. This book was released on 2010-12-06 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Workshop on Internet and Network Economics, WINE 2010, held in Stanford, USA, in December 2010. The 52 revised full papers presented were carefully reviewed and selected from 95 submissions. The papers are organized in 33 regular papers and 19 short papers.
Book Synopsis Optimal Social Influence by : Wen Xu
Download or read book Optimal Social Influence written by Wen Xu and published by Springer Nature. This book was released on 2020-01-29 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained book describes social influence from a computational point of view, with a focus on recent and practical applications, models, algorithms and open topics for future research. Researchers, scholars, postgraduates and developers interested in research on social networking and the social influence related issues will find this book useful and motivating. The latest research on social computing is presented along with and illustrations on how to understand and manipulate social influence for knowledge discovery by applying various data mining techniques in real world scenarios. Experimental reports, survey papers, models and algorithms with specific optimization problems are depicted. The main topics covered in this book are: chrematistics of social networks, modeling of social influence propagation, popular research problems in social influence analysis such as influence maximization, rumor blocking, rumor source detection, and multiple social influence competing.
Book Synopsis Optimal Influence in Social Networks by : Wen Xu
Download or read book Optimal Influence in Social Networks written by Wen Xu and published by . This book was released on 2014 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks, which consist of individuals and relationships between them, are now popular communication platforms for the public. Especially, online social networks such as Facebook and Twitter, have emerged as an important medium for the widespread distribution of news, opinions or rumors in various social events. In this dissertation, we study two types of problems related to influence diffusion in social networks. First, to maximize the product adoption in social networks via the word-of-mouth effect, we study the problem of influence maximization, in which a small set of the most influential users are identified so that their aggregated influence in the network is maximized. We recast the problem to a weighted maximum cut based framework, which analyzes the influence flow among users in the network. Since the problem is NP-hard, we solve it by a semi-definite program based algorithm, which provides about 0.8 approximation of optimal solution with theoretical guarantees. Second, we study the inverse problem of influence diffusion, locating sources of information diffusion, which has important applications such as locating sources of epidemics or rumors in networks. Suppose the spread of rumor follows the probabilistic model, for example, Independent Cascade (IC), without any text or content information, we develop a reachability based score for ranking the importance of nodes as the rumor source. To extend our work, we consider detecting multiple rumors from a deterministic point on general graphs. The problem of Multiple Rumor Source Detection (MRSD) is formally defined as finding a Set Resolving Set (SRS) with the smallest cardinality in the network. Using an analysis framework of submodular functions, we propose a highly efficient greedy algorithm for the MRSD problem, which is polynomial time under some reasonable constraints, that is, there is a constant upper bound for the number of rumor sources.
Book Synopsis Optimal Influence Strategies in Social Networks by : Christos Bilanakos
Download or read book Optimal Influence Strategies in Social Networks written by Christos Bilanakos and published by . This book was released on 2015 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article suggests a modeling framework to investigate the optimal strategy followed by a monopolistic firm to manipulate the process of opinion formation in a social network. We consider a network which consists of the monopolist and a set of consumers who communicate to form their beliefs about the underlying product quality. When consumers' initial beliefs are uniform, we analytically and numerically show that the firm's optimal influence strategy always involves targeting the most influential consumer. We characterize the optimal amount of resources that should be allocated by the firm to this kind of manipulative activity. For the case of non-uniform initial beliefs, we rely on numerical methods to show that the monopolist might have an incentive to target the least influential consumer if the latter's initial opinion is low enough. The equilibrium valuation of the good and the firm's profitability are minimized when consumers' limiting influences on the consensus belief are equal, implying that the monopolist benefits from the presence of consumers with divergent strategic locations in the network.
Book Synopsis Evolutionary Multi-Criterion Optimization by : Hisao Ishibuchi
Download or read book Evolutionary Multi-Criterion Optimization written by Hisao Ishibuchi and published by Springer Nature. This book was released on 2021-03-24 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.
Book Synopsis Information and Influence Propagation in Social Networks by : Wei Chen
Download or read book Information and Influence Propagation in Social Networks written by Wei Chen and published by Morgan & Claypool Publishers. This book was released on 2013-10-01 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models against any available real datasets consisting of a social network and propagation traces that occurred in the past? These are just some questions studied by researchers in this area. Information propagation models find applications in viral marketing, outbreak detection, finding key blog posts to read in order to catch important stories, finding leaders or trendsetters, information feed ranking, etc. A number of algorithmic problems arising in these applications have been abstracted and studied extensively by researchers under the garb of influence maximization. This book starts with a detailed description of well-established diffusion models, including the independent cascade model and the linear threshold model, that have been successful at explaining propagation phenomena. We describe their properties as well as numerous extensions to them, introducing aspects such as competition, budget, and time-criticality, among many others. We delve deep into the key problem of influence maximization, which selects key individuals to activate in order to influence a large fraction of a network. Influence maximization in classic diffusion models including both the independent cascade and the linear threshold models is computationally intractable, more precisely #P-hard, and we describe several approximation algorithms and scalable heuristics that have been proposed in the literature. Finally, we also deal with key issues that need to be tackled in order to turn this research into practice, such as learning the strength with which individuals in a network influence each other, as well as the practical aspects of this research including the availability of datasets and software tools for facilitating research. We conclude with a discussion of various research problems that remain open, both from a technical perspective and from the viewpoint of transferring the results of research into industry strength applications.
Book Synopsis Influence Optimization Problems in Social Networks by : Shuyang Gu
Download or read book Influence Optimization Problems in Social Networks written by Shuyang Gu and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Online social networks have been developing and prosperous during the last two decades, my dissertation focus on the study of social influence. Several practical problems about social influence are formulated as optimization problems. First, users of online social networks such as Twitter, Instagram have a nature of expanding social relationships. Thus, one important social network service is to provide potential friends to a user that he or she might be interested in, which is called friend recommendation. Different from friend recommendation, which is a passive way for an user to connect with a potential friend, in my work, I tackle a different problem named active friending as an optimization problem about how to friend a person in social networks taking advantage of social influence to increase the acceptance probability by maximizing mutual friends influence. Second, the influence maximization problem has been studied extensively with the development of online social networks. Most of the existing works focus on the maximization of influence spread under the assumption that the number of influenced users determines the success of product promotion. However, the profit of some products such as online game depends on the interactions among users besides the number of users. We take both the number of active users and the user-to-user interactions into account and propose the interaction-aware influence maximization problem. Furthermore, due to the uncertainty in edge probability estimates in social networks, we propose the robust profit maximization problem to have the best solution in the worst case of probability settings.
Book Synopsis Influence and Behavior Analysis in Social Networks and Social Media by : Mehmet Kaya
Download or read book Influence and Behavior Analysis in Social Networks and Social Media written by Mehmet Kaya and published by Springer. This book was released on 2018-12-11 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely book focuses on influence and behavior analysis in the broader context of social network applications and social media. Twitter accounts of telecommunications companies are analyzed. Rumor sources in finite graphs with boundary effects by message-passing algorithms are identified. The coherent, state-of-the-art collection of chapters was initially selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. Original chapters coming from outside of the meeting round out the coverage. The result will appeal to researchers and students working in social network and social media analysis.
Book Synopsis Advances in Electronics, Communication and Computing by : Akhtar Kalam
Download or read book Advances in Electronics, Communication and Computing written by Akhtar Kalam and published by Springer. This book was released on 2017-10-27 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of research work in the interdisciplinary areas of electronics, communication, and computing. This book is specifically targeted at students, research scholars and academicians. The book covers the different approaches and techniques for specific applications, such as particle-swarm optimization, Otsu’s function and harmony search optimization algorithm, triple gate silicon on insulator (SOI)MOSFET, micro-Raman and Fourier Transform Infrared Spectroscopy (FTIR) analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, Ground-penetrating radar (GPR) with conducting surfaces, and digital image forgery detection. The contents of the book will be useful to academic and professional researchers alike.
Book Synopsis Optimization Problems for Maximizing Influence in Social Networks by : Smita Ghosh
Download or read book Optimization Problems for Maximizing Influence in Social Networks written by Smita Ghosh and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Networks have become very popular in the past decade. They started as platforms to stay connected with friends and family living in different parts of the world, but have evolved into so much more, resulting in Social Network Analysis (SNA) becoming a very popular area of research. One popular problem under the umbrella of SNA is Influence Maximization (IM), which aims at selecting k initially influenced nodes (users) in a social network that will maximize the expected number of eventually-influenced nodes (users) in the network. Influence maximization finds its application in many domains, such as viral marketing, content maximization, epidemic control, virus eradication, rumor control and misinformation blocking. In this dissertation, we study various variations of the IM problem such as Composed Influence Maximization, Group Influence Maximization, Profit Maximization in Groups and Rumor Blocking Problem in Social Networks. We formulate objective functions for these problems and as most of them are NP-hard, we focus on finding methods that ensure efficient estimation of these functions. The two main challenges we face are submodularity and scalibility. To design efficient algorithms, we perform simulations with sampling techniques to improve the effectiveness of our solution approach.
Book Synopsis Social Network Data Analytics by : Charu C. Aggarwal
Download or read book Social Network Data Analytics written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2011-03-18 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
Book Synopsis Encyclopedia of Social Network Analysis and Mining by : Reda Alhajj
Download or read book Encyclopedia of Social Network Analysis and Mining written by Reda Alhajj and published by Springer. This book was released on 2018-05-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Social Network Analysis and Mining (ESNAM) is the first major reference work to integrate fundamental concepts and research directions in the areas of social networks and applications to data mining. The second edition of ESNAM is a truly outstanding reference appealing to researchers, practitioners, instructors and students (both undergraduate and graduate), as well as the general public. This updated reference integrates all basics concepts and research efforts under one umbrella. Coverage has been expanded to include new emerging topics such as crowdsourcing, opinion mining, and sentiment analysis. Revised content of existing material keeps the encyclopedia current. The second edition is intended for college students as well as public and academic libraries. It is anticipated to continue to stimulate more awareness of social network applications and research efforts. The advent of electronic communication, and in particular on-line communities, have created social networks of hitherto unimaginable sizes. Reflecting the interdisciplinary nature of this unique field, the essential contributions of diverse disciplines, from computer science, mathematics, and statistics to sociology and behavioral science, are described among the 300 authoritative yet highly readable entries. Students will find a world of information and insight behind the familiar façade of the social networks in which they participate. Researchers and practitioners will benefit from a comprehensive perspective on the methodologies for analysis of constructed networks, and the data mining and machine learning techniques that have proved attractive for sophisticated knowledge discovery in complex applications. Also addressed is the application of social network methodologies to other domains, such as web networks and biological networks.
Book Synopsis 33 Million People in the Room by : Juliette Powell
Download or read book 33 Million People in the Room written by Juliette Powell and published by Que Publishing. This book was released on 2009 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Juliette Powell has provided a timely crash course on how to leverage your business's online presence. A must-read for any aspiring entrepreneur, activist, brand manager, or c-level executive." -Jeffrey Stewart, Serial Technology Entrepreneur; Founder, Mimeo, Urgent Career, and Monitor110 "Reading Juliette Powell's book is like perusing the secret trade documents of the most connected social butterfly. Upon first meeting Juliette, she immediately grabbed me by the arm and introduced me to the most important person in the room. When you pick up her book, it's the same experience. She reaches through the pages and gives the reader entry to the halls of power through online networking." -Amy Shuster, Editorial Producer, MSNBC "Juliette knows her way around a social network; she regales us with tales and practical advice from the plastic porous mediascape of today." -David Thorpe, Global Director of Innovation, Ogilvy & Mather "If you are in business or starting one, and wonder what the heck all this talk about social networking is about, this book is the best quick guide I've seen. It's full of juicy stories, backed up by sound social science, lucidly explained." -Howard Rheingold, Author, "Smartmobs"; Professor, Stanford and Berkeley "The exciting new world of online social networking is demonstrating the profound power of these truths to change the very fabric of society as we know it. Our interactions, relationships, and values are changing faster than most of us can comprehend. For some, the pace of this change is alarming. For others it is empowering. In "33 Million People in the Room "Juliette Powell takes us on a funfilled tour of this rapidly changing hypo-manic digital ecosystem simultaneously providing both practical advice and an insightful commentary on the increasing importance of authenticity in modern culture. Along the way we meet a hilarious cast of characters and gain a behind-the-scenes glimpse into real social networking success stories showing how to leverage the power of this modern phenomenon to achieve meaningful social and economic results for you and your business." -Michael Spencer, CTO, ASMALLWORLD "Juliette Powell has captured the strength, excitement, and opportunity of social networks in this compelling work. Opening with an arresting saga about Chris Anderson's debut as the new TED owner, she deftly sketches vignette after vignette that will have you thinking-why not me? Social networking power is awesome for those who have experienced it-but most people remain skeptical, guarded, and untrusting. Give up control? All control? Well, as she explains-YES! I've tried it, using six hundred fifty 'coauthors' to write a book-a book no one could have written, but to which 'everyone' could contribute. It was hard, very hard at first, to relinquish control, just as Powell describes. But the benefits she outlines are real. Try it-you'll see!" -Chuck House, Executive Director, Media X, Stanford University "Digital society is all about expanding and energizing connections between people and ideas in ways we are just starting to understand. "33 Million People in the Room "shares the perspective of an insider and shows us how business, entertainment, and politics all connect in the brave new world of social networking." -Kenny Miller, Creative Director and EVP, MTV Network Global Digital Media "If you thought social networks were just for kids, or geeks, or simply too frivolous for your time, then think again. Juliette Powell reveals the power of connections, the strategies to gain audience and the best practices to build community in this brisk-paced canter through the new tools and techniques for doing business. It's jargon-free and an easy read for those who have never dipped a toe in the water, but even experienced networkers will find wisdom in its pages. Real-world examples make a compelling case for her notion that social capital makes sound business sense and when successfully established can translate into capital in the bank." -Paul Brannan, Deputy Editor, News Interactive, BBC "Juliette Powell has written a book that will advance your understanding of social networking whether you're a nerd, Luddite, a savvy teen blogger, or, most importantly, a business person trying to gain an edge by embracing the latest Internet phenomenon." -Joel Dreyfuss, Editor in Chief, "Red Herring "magazine "Juliette Powell's book "33 Million People in the Room "is the perfect book for the class. Powell understands that social networking is the best way to find like-minded people online, either to pursue an interest, reach a particular goal, create or grow a business, or just to help establish a sense of community among people online and beyond. Bravo Prof. Powell for a job well done!" -Bill Sobel, Sobel Media, NY: MIEG, www.nymieg.org "Juliette Powell has brilliantly answered in rich dimensions "why "you should be deeply involved in this new communications fabric. Through vignettes with the true leaders of this revolution, Juliette has set forth all the energy and steam you need for your boilers to get going and enter the room." -Chris Brogan, Business Advisor, chrisbrogan.com "Juliette Powell has delivered a wonderfully succinct snapshot for embracing social computing as a way of doing business, not just the latest technology trend. Whether you are new to making connections online or are a social computing technology veteran, Juliette encapsulates the themes, concepts, and ideas that are most relevant for anyone in business interested in working in or exploring social computing." -Jeffrey Dachis, Cofounder, Razorfish, Inc.; Cofounder, Senior Partner Bond Art & Science; Chairman, Producers Guild of America New Media Council "Social networking is just not for breakfast anymore. "33 Million People in the Room "demonstrates how it transcends marketing and promotion, connecting people and companies in ways none of us dared dream. Thanks to Juliettte for putting this in perspective, and to social networks for so many of my restless nights." -David Blumenstein, Cofounder, The Hatchery "Juliette Powell puts a human face on the social changes being wrought online, whether describing new tools like MySpace and Facebook, or key concepts like viral communication and social capital." -Clay Shirky, Adjunct Professor, NYU's Graduate Interactive Telecommunications Program (ITP); Author, "Here Comes Everybody" " " "We all recognize that social networking and the technologies of connection and collaboration are an enormous phenomenon. But what do they mean? How can they, how will they be used to create social and economic value? Drawing on her own experience and on the insights of The Gathering Think Tank, Juliette Powell has developed a powerful set of answers to those critical questions. Full of clear explanations, helpful examples, and accessible advice, "33 Million People in the Room "is an important tool for managers and citizens alike-a sourcebook for the next economy." -Lawrence Wilkinson, Cofounder and Vice Chair, Oxygen Media; Cofounder and President, Global Business Network; Cofounder and Chair, Heminge & Condell "Juliette has done a terrific job of capturing the power of and the opportunities presented by social networks. Whether you are looking to maximize the impact of 'You Inc' or a global company, there are important lessons in this book. Things have changed, again, and this book will help you capitalize on it." -Doug Zingale, General Manager of Strategic Partnerships, Zune, Microsoft Corporation Social networks are no fad. They're a permanent reality: one that offers immense opportunities to smart, innovative businesses. Now, top social networking consultant Juliette Powell reveals how dozens of innovators are driving real ROI through social networks-and how you can, too. Powell's wide-ranging research, including coverage on Barack Obama's successful online strategy in his bid for the presidency, focuses on technology, media and gaming companies, leaders in fashion, beauty, publishing, finance, retail, event planning, and beyond. These powerful narratives illuminate the reality of doing business on today's social networks as never before. Through them, Powell introduces new best practices, shows how to avoid crucial pitfalls, and helps you prepare for the newest trends in online social networking. Drawing on the latest research, Powell connects the dots, uncovering the human dynamics and patterns that consistently underlie successful social networking initiatives. Along the way, she offers practical tools and advice for optimizing every stage of your own social networking initiative-from planning through measurement, and beyond. Getting on, getting started, and making social networks work for you Defining and implementing your optimal social networking strategy Leveraging the amazing power of the microcelebrity Achieving worldwide impact in the niche that matters to you Transforming social and cultural capital into financial capital Be generous, build your trusted personal network-and discover all you get in return Profiting from the knowledge you never knew you had Opening your organization's own social networking channels- inside and out
Book Synopsis The Oxford Handbook of Creativity, Innovation, and Entrepreneurship by : Christina Ellen Shalley
Download or read book The Oxford Handbook of Creativity, Innovation, and Entrepreneurship written by Christina Ellen Shalley and published by Oxford Library of Psychology. This book was released on 2015 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creativity can be viewed as the first stage of the overall innovation process, an important dimension of the entrepreneurship and new venture creation processes, and as such, it is considered to be a cornerstone of organizational competitiveness in this global, knowledge-based economy. Research on creativity has increasingly become multilevel, with most work conducted at the individual or team level of analysis. At the same time, there is a large body of research being conducted at the organizational level of analysis on innovation, and there has been a significant amount of entrepreneurship research at the individual level, with an increasing focus on organizational entrepreneurship. However, these three research streams have developed independently, and there has been very little knowledge transfer between the three areas. Because entrepreneurship is often said to be a process that is required to convert innovation into business ventures that will deliver benefits to stakeholders, it is typically driven by an individual or small group of individuals. Creativity research, innovation research, and entrepreneurship research have the potential to inform each other, enriching our knowledge of each area, particularly with regard to the cognitive processes and behaviors that are most effective. This Handbook includes contributions from the leading scholars in these three research areas, who integrate contemporary research findings on organizational creativity, innovation, and entrepreneurship and provide fruitful new research directions."
Book Synopsis Optimization in Social Networks by : Yuqing Zhu
Download or read book Optimization in Social Networks written by Yuqing Zhu and published by . This book was released on 2014 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social networks have shown increasing popularity in real-world applications. In this dissertation, I study several optimization problems in social networks. In Chapter 1, I propose an approximation algorithm for influence maximization problem in social networks which works better than the start-of-arts under certain circumstances. In Chapter 2, noticing that for a company, the profit and influence are often different, I propose the balanced influence and profit (BIP) problem and design effective algorithms. In Chapter 3, I propose a new influence diffusion model - Timeliness Independent Cascade (TIC) for the case where multiple companies spread their influence and compete each other in a social network. I present the FairInf problem aiming at giving different companies fair influence spreads under TIC model. Several algorithms are designed for FairInf problem. In Chapter 4, a new partitioning method for social networks has been devised. This method is based on the mutual relationship between each pair of individuals in the social network, and works better than existing partitioning strategy on real world datasets.
Book Synopsis Social Networks and Organizations by : Martin Kilduff
Download or read book Social Networks and Organizations written by Martin Kilduff and published by SAGE. This book was released on 2003-08-15 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: `The authors should be congratulated for not only offering an excellent tour de force of cutting-edge work in social network analysis, but also charting some new possible territories for future organizational research′ - Environment and Planning Social Networks and Organizations provides a compact introduction to major concepts in the area of organizational social networks. The book covers the rudiments of methods, explores major debates, and directs attention to theoretical directions, including a vigorous critique of some taken-for-granted assumptions. The book is aimed at all of those who seek a lucid and lively treatment of social network approaches to organizational research, with a particular emphasis on the neglected area of interpersonal networks in organizations. In this book, Martin Kilduff and Wenpin Tsai offer new insights to those already familiar with network analysis, and motivate those interested in pursuing network research to embark on journeys of discovery. `This book is extremely timely. It provides a wonderful synthesis of the recently burgeoning literature in the area of organizations and social networks. It should be relevant at once for both the experienced network scholar as well as those entering this growing area′ - Ranjay Gulati, Kellogg School of Management, Northwestern University `Martin Kilduff and Wenpin Tsai have done a marvellous job of not only reviewing and integrating the diverse streams of literatures on social networks, but also of showing the enormous potential of this research approach that still lies untapped. Overall, this book will prove to be an invaluable resource for interested graduate students as well as for established scholars in the field′ - Sumantra Ghoshal, Professor of Strategic and International Management, London Business School `Research on social networks is already one of the most vibrant areas of organizational inquiry. How can it possibly become any more so? This book by Kilduff and Tsai opens up many new avenues for network research and theory-building. Whether you′re newly-interested in social networks or a veteran of the topic, you will benefit from Kilduff and Tsai′s marvellous contribution′ - Donald C Hambrick, Smeal College of Business Administration, The Pennsylvania State University
